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PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
14 years 27 days ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
CSDA
2007
58views more  CSDA 2007»
13 years 7 months ago
A unifying model involving a categorical and/or dimensional reduction for multimode data
A unifying model is presented that implies a categorical and/or dimensional reduction of one or several modes of a multiway data set. The model encompasses a broad range of (exist...
Iven Van Mechelen, Jan Schepers
ICPR
2008
IEEE
14 years 1 months ago
Support Vector Data Description for image categorization from Internet images
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
Xiaodong Yu, Daniel DeMenthon, David S. Doermann
PAMI
2012
11 years 9 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
CTCS
1995
Springer
13 years 11 months ago
A Proposed Categorical Semantics for ML Modules
We present a simple categorical semantics for ML signatures, structures and functors. Our approach relies on realizablity semantics in the category of assemblies. Signatures and s...
Michael P. Fourman, Hayo Thielecke